Multiple Linear Regression Analysis Research Articles

Limited Sampling Strategy for Predicting the Area under Plasma Concentration–Time Curve of Nadolol in Healthy Subjects

AbstractNadolol is a hydrophilic β‐adrenoceptor blocker with a relatively long half‐life and negligible metabolism. It is a substrate of P‐glycoprotein and organic anion transporting polypeptide 1A2, and may serve as an in vivo probe drug for the assessment of drug–drug and food–drug interactions mediated by these transporters. In the present study, we aimed to develop limited sampling strategy (LSS) models for predicting the area under the plasma concentration–time curve (AUC0‐∞) of nadolol. Plasma concentration data (Ct) in healthy volunteers reported in four previous studies were randomly divided into a training dataset for model development (n = 15) and a test dataset for model validation (n = 16). By multiple linear regression analysis, we confirmed that four out of the eight models using two time points and all models using three time points met the acceptable criteria. In particular, the three time point models using (C3, C6, and C24) and (C4, C8, and C24) showed better predictive performances with r2 values of 0.983 and 0.980, respectively. In drug interaction studies of nadolol with itraconazole, rifampicin, grapefruit juice, and green tea extract, both LSS models accurately predicted the AUC0‐∞ with percent mean absolute error ≤11% and percent root mean square error ≤12%. In addition, using digitized pharmacokinetic data of nadolol, both LSS models were further validated by predicting the AUC0‐∞ in different doses. The results suggest that the LSS models using three time points allow a reliable prediction of AUC0‐∞ of nadolol in healthy individuals.

Examining the Relationships between Career Development, Daily Life Decision Making and Social Emotional Learning Skills of Middle School Students

This presented research has three purposes: The first purpose of this study is to examine the power of middle school students' social emotional learning and daily life decision-making skills together as a predictor of their career development. The second purpose is to examine the career development of middle school students according to gender. Third purpose is to examine the career development of middle school students according to targeted high school type. The research group consisted of 263 middle school students (141 female, 116 male, 6 unknown). These students were studying in 3 middle schools in the center of a large city in the northwestern part of Turkey and their ages ranged between 10-15 (X̄=12.31; sd=1.07). The research data were collected by applying the Chilhood Career Development Scale, Social Emotional Learning Scale for Adolescents, Daily Life Decision Making Scale and Personal Information Form. The research data were analysed using multiple linear regression analysis, t test, and one-way ANOVA. The research results showed that middle school students' social emotional learning and daily life decision-making skills scores together accounted for a significant proportion of the variance 0.19% of the career development scores of middle school students. The results showed that the career development score mean of students targeted Anatolian high school were higher than those aiming for science high school and vocational and technical high school. There was not significantly differences in career development scores of the students according to gender. The research results were discussed based on the relevant literature, provided important implications for the theoretical and practical literature on career development, social emotional learning and daily life decision-making skills and suggestions were presented for future theoretical and practical research.

The effect of positive mental well-being on patient reported outcome (PRO): finding from a cross-sectional multi-disease study in China.

This study aims to investigate the potential impact of positive mental well-being on responses of patient-reported outcome measures (PROMs), such as EQ-5D-5L. This study utilized the data collected in a cross-sectional study in a sample consisted of individuals with different health conditions. Spearman's rank correlations were employed to investigate the relationship between the responses to the dimensions of EQ-5D-5L and the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS). A binary logistic regression analysis and ordered logistic multivariable regression were utilized to examine how SWEMWBS scores could impact the responses to EQ-5D-5L dimensions, while controlling for variables such as age, gender, education level, health conditions, caring experience, and data collection methods. The effects of SWEMWBS on EQ-VAS and utility values were also examined. One thousand nine individuals participated in the survey. Spearman's rank correlation revealed that all dimensions of EQ-5D-5L, except for the anxiety/depression dimension, exhibited weak correlations with all dimensions of SWEMWBS. Binary logistic regression and ordered logistic multivariable regression indicated that age, SWEMWBS scores, gender, health conditions, data collection methods, and caring experience significantly influenced the likelihood of reporting problems in EQ-5D-5L responses. Notably, better SWEMWBS outcomes increased the likelihood of reporting no or fewer problemsacross all EQ-5D-5L dimensions. Spearman's rank correlation suggested a moderate or strong positive correlation between SWEMWBS scores and EQ-5D-5L utility values and EQ-VAS. The results of multiple linear regression analysis revealed that SWEMWBS scores, health conditions, caring experience, and data collection methods were significantly associated with EQ-5D utility values and EQ-VAS. Individuals with better positive mental well-being results are more likely to report better results in PROMs like EQ-5D-5L. Future study is needed to understand the thought process and to explore strategies to cope with the response heterogeneity that led by the status of mental well-being.

Faktor-Faktor yang Memengaruhi Harga Saham pada Bisnis Subsektor Makanan dan Minuman yang Terdaftar di IDX

This study aims to investigate the effects of the Current Ratio (CRA), Debt-to-Equity Ratio (DERA), and Return on Equity (ROEQ) on the stock prices (HS) of companies in the food and beverage sector listed on the Indonesia Stock Exchange (IDX) during the period from 2017 to 2022. The analysis utilizes data sourced from the published annual financial statements of the relevant companies, employing a purposive sampling method to select 17 companies from the food and beverage subsector as the research sample. This research employs a quantitative descriptive approach and multiple linear regression analysis processed with Eviews Version 12. The findings indicate that CRA does not have a significant effect on stock prices when analyzed separately. Conversely, ROEQ has a positive and significant impact on stock prices, while DERA shows a significant negative effect. These findings affirm that the three variables, namely CRA, DERA, and ROEQ, contribute to stock price fluctuations both individually and collectively. Therefore, this research recommends that companies in the food and beverage sector enhance their financial performance, particularly through better debt management and increased profits, in order to strengthen the attractiveness of their stock prices in the market and attract greater interest from investors.

The relationship between illness perception and vision-related quality of life among Chinese patients with diabetic retinopathy: the mediating role of resignation coping style.

Maladaptive illness perception and coping strategies have been linked to illness-related quality of life in patients with chronic diseases. However, the impact of illness perception and coping strategies on vision-related quality of life (VRQOL) in patients with diabetic retinopathy (DR), a significant microvascular complication of diabetes mellitus, remains unclear. This study aims to evaluate the associations among illness perception, coping styles, and VRQOL in Chinese patients with DR, and to explore the mediating role of coping styles in the relationship between illness perception and VRQOL. This cross-sectional study included 303 adult Chinese with DR recruited from a general Grade-A tertiary hospital in Hunan, China. All participants completed clinical and demographic questionnaires. The Brief Illness Perception Questionnaire(BIPQ), the National Eye Institute 25-Item Visual Function Questionnaire(NEI-VFQ-25), and the Medical Coping Modes Questionnaire were respectively adopted to assess the illness perception, VRQOL and coping styles. The BIPQ total scores were converted to logit scores using Rasch analysis. The NEI-VFQ-25 composite scores were converted to estimated person measures based on Rasch analysis and the method of successive dichotomizations. The relationships among these variables were assessed through independent-sample t-test, one-way analysis of variance, correlation analyses and multiple linear regression analysis, while SPSS Process model and the bootstrap analysis were utilized to evaluate the mediating effect. Illness perception was positively correlated with resignation coping style (r = 0.33, P < 0.001) and negatively correlated with VRQOL (r = -0.43, P < 0.001). Resignation coping style was negatively correlated with VRQOL (r = -0.38, P < 0.001). Illness perception significantly predicted resignation coping style (t = 5.91, P < 0.001) and resignation coping style significantly predicted VRQOL (t = -5.30, P < 0.001). The mediating effect through resignation coping was - 0.49 (95% CI: -0.75 to -0.27), accounting for 21.08% of the total effect of illness perception on VRQOL. The study revealed that the resignation coping style partially mediated the relationship between illness perception and VRQOL among DR patients. Specifically, DR patients may accept their worsening circumstances without attempting to change them due to their perception that their illness is threatening and beyond control. This resignation coping strategy could, in turn, lead to poorer VRQOL. These findings suggest that interventions targeting the improvement of illness perception and coping strategies could enhance the VRQOL of DR patients.

Impact of kidney transplantation vs. dialysis waiting for deceased donor on left ventricular diastolic dysfunction.

Left ventricular (LV) diastolic dysfunction is frequently observed in patients with end-stage kidney disease (ESKD) and a significant risk factor for the development of cardiovascular events in those patients. We hypothesized that the ratio of early diastolic peak mitral flow velocity to early mitral annulus velocity (E/e' ratio), the widely used non-invasive LV diastolic dysfunction index, would show improvements following kidney transplantation (KT). A total of 192 KT recipients who underwent echocardiography before KT and 2 years after KT were included this analysis. Moreover, 137 patients with ESKD on dialysis, waiting for deceased donor were included as a control group. Multiple linear regression analysis was used to identify the factors related to changes in the E/e' ratio. The median duration between conducting the two echocardiographies was 809 days for the KT recipients and 798 days for the controls. The mean E/e' ratio showed a significant decrease in KT recipients (10.9 vs. 9.8, respectively; p=0.002), but not in the controls (11.7 vs. 11.9, respectively; p=0.605). In multiple linear regression, KT (standardized β (SB) = -0.156; p=0.009) and administration of β blocker (BB) at enrollment (SB = -0.130; p==0.034) and at 2 years (SB=0.206, p=0.001) were significant predictors of the change in the E/e' ratio. LV diastolic dysfunction showed a noticeable improvement in the patients after KT compared to those on the waiting list and undergoing dialysis. Further studies, including patients with volume status and major cardiovascular events, may be helpful for validating these findings.

IMPROVING EMPLOYEE PERFORMANCE THROUGH COMPETENCE AND WORK DISCIPLINE : A CASE STUDY AT THE REGIONAL SECRETARIAT OFFICE OF PATI REGENCY

This study aims to determine employee performance strategies through competence and work discipline. The population and sample used were employees of the Regional Secretariat Office of Pati Regency in the general section, totaling 50 respondents. The data collected were 50 respondents from the Regional Secretariat Office of Pati Regency, specifically the general section. The sampling technique used is a saturated sample. Data collection methods using primary data. The analysis technique used is multiple linear regression analysis, the results of the analysis reveal that partial competence can be used as a strategy to improve employee performance through knowledge, skills, experience, attitudes, and education levels that support the positive and significant results of the analysis, as well as work discipline that to improve employee performance can use work discipline through high attendance, obeying the rules, obeying work standards, working ethically according to the results of the analysis which show positive and significant.

Analisis Pengaruh Indeks Pembangunan Manusia (IPM) dan Pertumbuhan Ekonomi Terhadap Kemiskinan di Kabupaten Pidie

This research aims to find out whether HDI and economic growth have an effect on poverty in Pidie Regency, Aceh Province in the 2010-2023 period. The approach in this research is quantitative using multiple linear regression analysis methods. The Aceh Central Bureau of Statistics (BPS) data source uses Time Series data. . The results of this research show that HDI partially has a negative and significant effect on poverty in Pidie Regency, and Economic Growth has a positive and insignificant effect on partial poverty in Pidie Regency. And simultaneously HDI and Economic Growth have a positive and significant effect on poverty in Pidie Regency.

Wavelet transform-based mode decomposition for EEG signals under general anesthesia

Background Mode decomposition methods are used to extract the characteristic intrinsic mode function (IMF) from various multidimensional time series signals. We analyzed an electroencephalogram (EEG) dataset for sevoflurane anesthesia using two wavelet transform-based mode decomposition methods, comprising the empirical wavelet transform (EWT) and wavelet mode decomposition (WMD) methods, and compared the results with those from the previously reported variational mode decomposition (VMD) method. Methods To acquire the EEG data, we used the software application EEG Analyzer, which enabled the recording of raw EEG signals via the serial interface of a bispectral index (BIS) monitor. We also created EEG mode decomposition software to perform empirical mode decomposition (EMD), VMD, EWT, and WMD operations. Results When decomposed into six IMFs, the EWT enables narrow band separation of the low-frequency bands IMF-1 to IMF-3, in which all central frequencies are less than 10 Hz. However, in the upper IMF of the high-frequency band, which has a center frequency of ≥ 10 Hz, the dispersion within the frequency band covered was widespread among the individual patients. In WMD, a narrow band of clinical interest is specified using a bandpass filter in a Meyer wavelet filter bank within a specific mode-decomposition discipline. When compared with the VMD and EWT methods, the IMF that was decomposed via WMD was accommodated in a narrow band with only a small variance for each patient. Multiple linear regression analyses demonstrated that the frequency characteristics of the IMFs obtained from WMD best tracked the changes in the BIS upon emergence from general anesthesia. Conclusions The WMD can be used to extract subtle frequency characteristics of EEGs that have been affected by general anesthesia, thus potentially providing better parameters for use in assessing the depth of general anesthesia.

The L-Arginine pathway may act as a mediator in the association between impaired one- carbon metabolism and hypertension.

Elevated fasting plasma total homocysteine (tHcy) and the methylenetetrahydrofolate reductase C677T polymorphism (rs1801133) have been associated with hypertension. Whether the L-Arginine pathway is involved, is unclear. We aimed to investigate whether the association between tHcy, the rs1801133 polymorphism and hypertension involves the L-Arginine pathway. THcy, plasma folate and cobalamin, erythrocyte glutathionine reductase activation coefficient, rs1801133 genotype, plasma L-Arginine, asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) were determined in a cross-sectional study of 788 adults (aged 18 to 75), randomly selected from 2 town population registers. Participants participated in a medical checkup and provided a fasting blood sample. Associations between tHcy, rs1801133 genotype and L-Arginine pathway metabolites were assessed by multiple linear regression analysis and whether the tHcy and rs1801133 genotype are associated with hypertension via the L-Arginine pathway was investigated using mediation analysis. tHcy was positively associated with ADMA (B=0.003; SE=0.001; P<0.001) and SDMA (B=0.007; SE=0.002; P<0.001) and negatively associated with the L-Arginine/ADMA (B=-1.140; SE=0.451; P<0.05) and ADMA/SDMA (B=-0.006; SE=0.003; P<0.05) ratios. The MTHFR 677 CT vs CC genotype was negatively associated with ADMA (B=-0.013; SE=0.007; P<0.05) and with SDMA (B=-0.029; SE=0.013; P<0.05) in participants under 50 years. Each standard deviation increase (37.6) in the L-Arginine/ADMA ratio was associated with reduced hypertension risk (OR [95%CI], 0.6 [0.5, 0.8]). Mediation analysis showed that tHcy and ADMA were mediators in the association between the rs1801133 TT vs CC genotypes and hypertension. Our results support the L-Arginine pathway as a mediator in the association of impaired One-Carbon metabolism and hypertension.

Association of endothelial function and limb artery indices with coronary artery stenosis severity in patients with hypertension

Background Hypertension is one of the major risk factors for cardiovascular events. This study aims to analyse the association of endothelial function and limb artery indices with coronary artery stenosis (CAS) severity in hypertension based on easily accessible and detailed clinical information, and to help accurately identify high-risk groups and avoid missed diagnosis and misdiagnosis. Methods Admission data of 1,375 consecutive hypertensive patients complicated with suspected coronary atherosclerotic heart disease (CHD) from September 2020 to August 2021 in China-Japan Friendship Hospital were retrospectively assessed. All candidates underwent coronary angiography for screening. A total of 600 eligible patients were classified in the CHD group (n = 359) and non-CHD group (n = 241) based on their coronary angiography results. Subjects in the CHD group were further assigned to ‘high stenosis’ (n = 178) and ‘low stenosis’ (n = 181) subgroups based on the median value of Gensini score. Endothelial function and limb artery indicators, including brachial artery flow-mediated vasodilatation (FMD), ankle-brachial index (ABI) and brachial-ankle pulse velocity (baPWV), were examined and compared between subgroups. Multivariate logistic regression analysis and multiple linear regression analysis were carried out to select independent risk factors of CAS severity in hypertension. A predictive equation was conducted according to the results of multivariate logistic regression analysis to make clinical practice easier. As the receiver operating characteristic (ROC) curve had been plotted, the predictive ability of endothelial function and limb artery indicators in CAS severity in hypertension was detected by the area under the curve (AUC). Results In patients with hypertension, the FMD (p = 0.023), ABI (p < 0.001) and baPWV (p < 0.001) of CHD patients appeared substantially different from the non-CHD patients. Furthermore, the ABI (p < 0.001) and baPWV (p = 0.032) both independently associated with CAS severity in hypertensive patients with CHD. Based on the results of multivariate logistic regression analysis with CAS severity as a dependent variable, a predictive equation of baPWV, ABI and FMD was developed: combined coefficient = Logit(p)=5.531–0.218*FMD–7.019*ABI + 0.244*baPWV. From the combined coefficients of baPWV, ABI and FMD, the largest AUC was 0.800, suggesting a powerful predictive value of CAS severity in hypertensive patients, followed by ABI (AUC = 0.747, 95%CI 0.693–0.796), baPWV (AUC = 0.704, 95%CI 0.648–0.756) and FMD (AUC = 0.588, 95%CI 0.529–0.645). Conclusion This study shows that baPWV, ABI and FMD are independent risk factors for CHD, of which, baPWV and ABI are strongly associated with CAS severity in hypertensive patients. The predictive ability of CHD in hypertensive patients may be enhanced through combining the three endothelial function and limb artery indicators. The results may help to facilitate clinical decision-making during treatment and management of coronary artery disease.

Pengaruh Pajak Daerah, Belanja Langsung dan Belanja Tidak Langsung Terhadap Pertumbuhan Ekonomi di Provinsi Aceh

Economic growth is one of the most important indicators in analyzing economic development that occurs in a region or country. Economic growth shows the extent to which economic activity will generate additional income for the community in a certain period. This research aims to look at the influence of regional taxes, direct spending and indirect spending on economic growth in Aceh Province in 2014 - 2023. The data used in this research is secondary data in the form of a time series taken from the last 10 years sourced from the Central Agency. Aceh Province Statistics (BPS) using a quantitative approach. The method used is multiple linear regression analysis. Based on the research results, it can be concluded that Regional Taxes, Direct Expenditures and Indirect Expenditures do not have a significant influence on Economic Growth in Aceh Province in the 2014-2023 period, either individually (separately) or simultaneously (together).

What innovation and technology delivers to internationalization? The case of European and Central Asia regions

Purpose This study aims to analyze the impact of technology and innovation on businesses’ internationalization process as well as the relationship between innovation and technology and internationalization. Design/methodology/approach The study was based on quantitative analysis of secondary data from 30 economies in Europe and Central Asia, extracted from the Enterprise Surveys – The World Bank database, using the multivariate statistical techniques of multiple linear regression and cluster analysis. Findings The results suggest that innovation and technology (I&amp;T) mutually and positively influence the internationalization of firms. In this sense, innovative firms are more successful in competing internationally and exposure to alternative business contexts culminates in innovation. The results suggest a positive relationship between the percentage of firms that introduced a process innovation, the percentage of firms with websites and the businesses’ internationalization. Originality/value The originality of this research is based on the methodological approach that allowed the identification of the most significant variables for stimulating the internationalization of firms based on innovation and technology. Given the predominance of economies with higher I&amp;T and internationalization in Europe, it is proposed as future research projects to ascertain the reasons for such a phenomenon.

Prognostic Factors in Patients Undergoing Physiotherapy for Chronic Low Back Pain: A Level I Systematic Review

Background: Low back pain is common. For patients with mechanic or non-specific chronic LBP (cLBP), the current guidelines suggest conservative, nonpharmacologic treatment as a first-line treatment. Among the available strategies, physiotherapy represents a common option offered to patients presenting with cLBP. The present systematic review investigates the prognostic factors of patients with mechanic or non-specific cLBP undergoing physiotherapy. Methods: In September 2024, the following databases were accessed: PubMed, Web of Science, Google Scholar, and Embase. All the randomised controlled trials (RCTs) which evaluated the efficacy of a physiotherapy programme in patients with LBP were accessed. All studies evaluating non-specific or mechanical LBP were included. Data concerning the following PROMs were collected: the pain scale, Roland Morris Disability Questionnaire (RMQ), and Oswestry Disability Index (ODI). A multiple linear model regression analysis was conducted using the Pearson Product–Moment Correlation Coefficient. Results: Data from 2773 patients were retrieved. The mean length of symptoms before the treatment was 61.2 months. Conclusions: Age and BMI might exert a limited influence on the outcomes of the physiotherapeutic management of cLBP. Pain and disability at baseline might represent important predictors of health-related quality of life at the six-month follow-up. Further studies on a larger population with a longer follow-up are required to validate these results.

Human identification via digital palatal scans: a machine learning validation pilot study.

This study aims to validate a machine learning algorithm previously developed in a training population on a different randomly chosen population (i.e., test set). The discrimination potential of the palatal intraoral scan-based geometric and superimposition methods was evaluated. A total of 23 participants (16 females and seven males) from different countries underwent palatal scans using the Emerald intraoral scanner. Geometric-based identification involved measuring the height, width, and depth of the palatal vault in each scan. These parameters were then input into Fisher's linear discriminant equations with coefficients determined previously on a training set. Sensitivity and specificity were calculated. For the superimposition method, scan repeatability was compared to between-subjects differences, calculating mean absolute differences (MAD) between aligned scans. Multiple linear regression analysis determined the effects of sex, longitude, and latitude of country of origin on concordance. The geometric-based method achieved 91.2% sensitivity and 97.1% specificity, consistent with the results from the training set, showing no significant difference. Latitude and longitude did not significantly affect geometric-based matches. In the superimposition method, the between-subjects MAD range (1.068-0.214mm) and the repeatability range (0.011-0.093mm) did not overlap. MAD was minimally affected by longitude and not influenced by latitude. The sex determination function recognized females over males with 69.0% sensitivity, similar to the training set. However, the specificity (62.5%) decreased. The assessment of geometric and superimposition discrimination has unequivocally demonstrated its robust reliability, remaining impervious to population. In contrast, the distinction between sexes carries only moderate reliability. The significant correlation observed among longitude, latitude, and palatal height suggests the feasibility of a comprehensive large-scale study to determine one's country of origin. Portable intraoral scanners can aid forensic investigations as adjunct identification methods by applying the proposed discriminant function to palatal geometry without population restrictions. The Clinicatrial.gov registration number is NCT05349942 (27/04/2022).

Nurses' self-care levels and its related factors: a cross-sectional study.

Nurses' self-care has been reported to enhance nurses' mental health and the quality of care they provide to patients. However, there is a scarcity of studies exploring the factors that influence nurses' self-care. Consequently, this study aims to investigate the current status of nurses' self-care ability and its influencing factors, thereby providing a reference for formulating effective strategies to improve nurses' self-care. This study is a cross-sectional study employing convenience sampling. A general information questionnaire, nurses' self-care scale, and the flourishing scale were used to explore nurses' self-care ability and the influencing factors among 1,046 nurses from eight tertiary hospitals in Jiangsu Province, China. The total score of nurses' self-care was (144.63 ± 22.53).The scores for the dimensions of self-care awareness, self-care knowledge, healthy lifestyle, occupational self-acceptance, and inner self-fulfillment were (23.43 ± 4.68), (19.40 ± 4.15), (22.08 ± 4.99), (43.82 ± 5.61), and (35.91 ± 6.00), respectively. The total score of nurses' flourishing was (45.45 ± 8.83). The self-care scores of nurses with different ages, professional titles, positions, years of working experience, night shift frequency, marital status, number of children, sleep quality, frequency of physical exercise, experience of workplace violence, experience of psychological help-seeking, mental health promotion training experience, relationship with family members, relationship with coworkers, experience of career change, and the flourishing grading level were statistically significantly different(P<0.05). The results of multiple linear regression analysis indicated that the influencing factors of nurses' self-care competence were sleep quality, relationships with colleagues, and the flourishing grading level(P<0.05). It is essential to improve nurses' self-care ability. Sleep quality, relationship with coworkers, and the flourishing grading level are the factors that influence nurses' self-care ability. Not applicable.

THE INFLUENCE OF EMOTIONAL INTELLIGENCE, CULTURAL DIVERSITY IN ORGANIZATION, AND COMMUNICATION STRATEGIES ON LEADERSHIP EFFECTIVENESS IN DIVERSE WORKPLACES IN FUZHOU CITY, FUJIAN PROVINCE, CHINA

In today’s rapidly evolving business landscape, characterized by heightened complexity and relentless change, the demand for adept management is more pronounced than ever. As organizations grapple with the challenges presented by an increasingly interconnected and technologically advanced world, the need to adapt and evolve management practices becomes a paramount concern (Drejer et al., 2014; BAGU et al., 2011). The aims of this study were to investigate the factors influencing Leadership Effectiveness based on 4 aspects, namely, the Demographic Factors, the Emotional Intelligence, the Cultural Diversity in Organization, and the Communication Strategies. The quantitative method was applied. Descriptive statistics such as frequency, percent frequency, mean, and standard deviation are introduced. Various inferential statistical methods are used to test the hypothesis, particularly the Independent samples t-test, the One-way ANOVA, and the Multiple linear regression analysis. The results obtained from the study indicate that differences in Marital Status, Age, Educational Level, and Monthly Income generate differences in Leadership Effectiveness. Based on the Multiple Linear Regression analysis, all aspects of Emotional Intelligence (Self-awareness, Self-regulation, Motivation, Empathy, and Social Skills), Cultural Diversity in Organization (Diversity, Equity, Inclusion, and Belonging) and Communication Strategies (Awareness and Understanding, Communication Quality, Accessibility, and Employee Engagement) had a positive impact on Leadership Effectiveness.

SPEED OF ADJUSTMENT OF CAPITAL STRUCTURE IN LISTED COMPANIES ON THE INDONESIA STOCK EXCHANGE

This study aims to analyze the speed of adjustment of capital structure in companies listed on the Indonesia Stock Exchange (BEI) by considering key variables such as SoA, Distance, Profitability (RoA), Growth, and Tangibility. SoA refers to the speed at which companies adjust to their target capital structure, and the results indicate that companies in Indonesia have not yet reached an optimal capital structure target. Distance reflects the difference between the actual and target capital structure, while profitability reflects the financial performance of the company. Growth and Tangibility refer to company growth and the level of tangible assets that can be pledged as collateral. This study involved 717 companies listed on the BEI from 2020 to 2022, with 2020 as the estimation period and 2021-2022 as the research period. The One Sample t-test with a test value of 1 and multiple linear regression analysis with classical assumption testing were employed to examine the relationship between these variables and SoA. Each variable that has been used in this study shows that the speed of adjustment of capital structure in companies listed on the Indonesia Stock Exchange is not at the optimal target. Of the five hypotheses made, it turns out that only three hypotheses were accepted while the other two hypotheses were rejected.

Analysis of Land Value Changes and Its Correlation with the Existence of Tourism and Accessibility in 2017-2024

Abstract: Getasan District, located in Semarang Regency, is renowned for its natural beauty, particularly with the presence of Mount Merbabu and a rapidly growing number of nature-based tourist attractions. Kopeng Tourism, a legacy from the Dutch colonial era, serves as the main attraction with its scenic views at the foot of Mount Merbabu. Additionally, the emergence of new tourist spots such as Hutan Pinus Kayon, Gedong Pass, Umbul Songo Natural Tourism, Agrotourism Kopeng "Gunung Sari," Merbabu Park, and Boemisora reflects the rapid development of tourism in this region. This rapid growth in tourism has had a direct impact on the local economy and the potential for changes in land value. This study aims to analyze the influence of tourist attractions and accessibility on land value changes in Getasan District from 2017 to 2024, amidst the significant growth of tourism. The research employed a descriptive and quantitative approach to analyze the data comprehensively. Quantitative analysis was carried out using multiple linear regression to evaluate the influence of proximity to tourist attractions and road accessibility on land value. The land value zone maps for 2017 and 2021 were obtained from the Semarang Regency Land Office, while the 2024 land value zone was created through the update of the 2021 zone. This update resulted in 130 zones with 688 sample points collected through field surveys based on fair market prices. Multiple linear regression analysis was conducted to evaluate the influence of straight-line distance from the zone centroid to tourist attractions and collector roads. The results showed that the p-value in the simultaneous test was 0.03647 (? 0.05), indicating that tourist attractions and accessibility have a simultaneous and significant influence on land value zone changes, with an impact size of 7.87%. These findings highlight the urgency of considering the rapidly developing tourism sector and accessibility in regional management and development, given their effect on land values in Getasan. Keywords: Getasan District, Kopeng Tourism, Land Value Zone

A Predictive Score for Bullying-Related Burnout in Healthcare Professionals: Implications for Organizational Interventions in Indonesia

Introduction: Workplace bullying is a pervasive issue with detrimental effects on the mental health and well-being of healthcare professionals. This study aimed to develop and validate a predictive score for bullying-related burnout among healthcare professionals in Indonesia and explore its implications for organizational interventions. Methods: A cross-sectional study was conducted involving 785 healthcare professionals from various hospitals in Indonesia. Data were collected using self-reported questionnaires, including the Indonesian versions of the Negative Acts Questionnaire-Revised (NAQ-R), the Copenhagen Burnout Inventory (CBI), and the Workplace Bullying Scale (WBS). Sociodemographic and work-related factors were also assessed. Multiple linear regression analysis was used to develop the predictive score, and its performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The prevalence of workplace bullying was 32.1%, with verbal bullying being the most common type. Burnout was significantly associated with bullying experiences (p&lt;0.001). The final predictive score included age, gender, profession, years of experience, work hours per week, perceived social support, and exposure to different types of bullying. The score demonstrated good predictive accuracy (AUC=0.88, 95% CI: 0.84-0.90) for identifying individuals at high risk of burnout. Conclusion: This study provides a validated predictive score for bullying-related burnout in Indonesian healthcare professionals. The score can be used to identify high-risk individuals and guide targeted organizational interventions to prevent and mitigate the negative consequences of workplace bullying.